Bacterial Particle Swarm Optimization

This paper presents a Bacterial particle swarm optimization （BPSO） strategy based on Particle swarm optimization （PSO） and Bacterial foraging algorithm （BFA）. The velocity updating and position updating rules of particles are reinforced by two bacterial behaviors, i.e. reproduction and ellmination-d...

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Bibliographic Details
Published in:电子学报：英文版 2009-04, Vol.18 (2), p.195-199
Main Author: JI Zhen WANG Yiwei CHU Ying WU Qinghua
Format: Article
Language:English
Subjects:
PSO
位置更新
博鳌亚洲论坛
多样性
局部最优
收敛速度
粒子群优化
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Summary:This paper presents a Bacterial particle swarm optimization （BPSO） strategy based on Particle swarm optimization （PSO） and Bacterial foraging algorithm （BFA）. The velocity updating and position updating rules of particles are reinforced by two bacterial behaviors, i.e. reproduction and ellmination-dispersal. Reproduction is applied to speed up the convergence rate, and elimination-dispersal provides diversity to overcome premature problem and escape from local optima. Various simulation results have demonstrated that the performance of BPSO is desirable in comparison with PSO and BFA.
ISSN:1022-4653